Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

Highlights•Protein Language Models (pLMs) tap into large unlabeled data to transform
protein science.•pLMs boost protein structure and function prediction performance and …

The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an
organism's function. We present Evo, a long-context genomic foundation model with a …

Protein language models (pLMs) capture some aspects of the grammar of the language of
life as written in protein sequences. The so-called pLM embeddings implicitly contain this …

Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require
personalized assessment and treatment. Advancements in multi-omics technologies …

Inspired by the success of large language models (LLMs), we develop a long-context
generative model for genomes. Our multiscale transformer model, megaDNA, is pre-trained …

Recent technological advancements have vastly improved access to high-throughput
biological instrumentation, sparking an unparalleled surge in omics data generation. The …

With a vocabulary of just four nucleotides, the language of DNA encodes the fundamental
information needed to orchestrate all layers of regulation in a cell, from DNA to RNA and …

Programmable biology through artificial intelligence: from nucleic acids to proteins to cells |
Nature Methods Skip to main content Thank you for visiting nature.com. You are using a browser …

ABSTRACT Viruses of bacteria,“phages,” are fundamental, poorly understood components
of microbial community structure and function. Additionally, their dependence on hosts for …